Publications associées à Robust Training and Verification of Deep Neural Networks

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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Robust Training and Verification of Deep Neural Networks

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Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Neural ADMIXTURE for rapid genomic clustering

The inductive bias of deep learning: Connecting weights and functions

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Euclid: Identification of asteroid streaks in simulated images using deep learning

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

Euclid: Identification of asteroid streaks in simulated images using deep learning

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

The inductive bias of deep learning: Connecting weights and functions

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Neural ADMIXTURE for rapid genomic clustering

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks